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» Computational Techniques for Modelling Learning in Economics
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SIGECOM
2006
ACM
107views ECommerce» more  SIGECOM 2006»
15 years 3 months ago
Empirical mechanism design: methods, with application to a supply-chain scenario
Our proposed methods employ learning and search techniques to estimate outcome features of interest as a function of mechanism parameter settings. We illustrate our approach with ...
Yevgeniy Vorobeychik, Christopher Kiekintveld, Mic...
GECCO
2005
Springer
132views Optimization» more  GECCO 2005»
15 years 2 months ago
Evolving computer intrusion scripts for vulnerability assessment and log analysis
Evolutionary computation is used to construct undetectable computer attack scripts. Using a simulated operating system, we show that scripts can be evolved to cover their tracks a...
Julien Budynek, Eric Bonabeau, Ben Shargel
SIGECOM
2004
ACM
120views ECommerce» more  SIGECOM 2004»
15 years 2 months ago
Robust incentive techniques for peer-to-peer networks
Lack of cooperation (free riding) is one of the key problems that confronts today’s P2P systems. What makes this problem particularly difficult is the unique set of challenges ...
Michal Feldman, Kevin Lai, Ion Stoica, John Chuang
GECCO
2005
Springer
15 years 2 months ago
Interactive estimation of agent-based financial markets models: modularity and learning
Building upon the interactive inversion method introduced by Ashburn and Bonabeau (2004), we show how to dramatically improve the results by exploiting modularity and by letting t...
M. Ihsan Ecemis, Eric Bonabeau, Trent Ashburn
HRI
2011
ACM
14 years 26 days ago
A comparison of machine learning techniques for modeling human-robot interaction with children with autism
Several machine learning techniques are used to model the behavior of children with autism interacting with a humanoid robot, comparing a static model to a dynamic model using han...
Elaine Short, David Feil-Seifer, Maja J. Mataric